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Ceiling to milk yield on Kenya smallholdings requires rethink of dairy development policy

Published online by Cambridge University Press:  23 November 2017

J. M. King*
Affiliation:
5 The Stables, Burley-on-the-Hill, Oakham LE15 7SU, U.K.
D. J. Parsons
Affiliation:
Silsoe Research Institute, Bedford, MK45 4HS, U.K.
J. R. Turnpenny
Affiliation:
Tyndal Centre for Climate Change Research, University of East Anglia, Norwich NR4 7TJ, U.K.
J. Nyangaga
Affiliation:
International Livestock Research Institute, P. O. Box 30709, Nairobi, Kenya
P. Bakari
Affiliation:
Kilifi District Livestock Production Office, P. O. Box 553, Kilifi, Kenya
M.C. Wathes
Affiliation:
Silsoe Research Institute, Bedford, MK45 4HS, U.K.
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Extract

The UN millennium goal of halving the percent of people in poverty in Sub-Saharan Africa by 2015, will not be achieved. Where animal scientists have contributed to this failure, they have assumed that small farms are inefficient and will be improved by adopting scaled-down versions of the large commercial systems in which their science has evolved. Kenya illustrates the problem, with its rural poverty and a project to increase the standard of living of smallholders through milk production. Despite the socio-economic difference from the large dairy farm, the cow of choice for these small zero-grazing units remains the Friesian (F), but her productivity is so low as to threaten the sustention of the system (Bebe, 2003). We need to understand why the breed is popular, what shapes the lactation curve and extends the calving interval (CI), and what are sustainable levels of milk and calf production.

Type
Theatre Presentations
Copyright
Copyright © The British Society of Animal Science 2005

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References

Bebe, B. O. 2003. Herd dynamics of smallholder dairy in the Kenya highlands. PhD Thesis, Wageningen, Netherlands.Google Scholar
Parsons, D. J., Armstrong, A. C., Turnpenny, J. R., Matthews, A. M., Cooper, K. and Clark, J.A. 2001. Integrated models of livestock systems for climate change studies. 1. Grazing systems. Global Change Biology 7, 93112.CrossRefGoogle Scholar